How to Build An AI Native PM Operating System with Mike Bal, Head of Product at David's Bridal

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Feb 3, 2026

Mike Bal, Head of Product at David's Bridal leading a large digital transformation, builds AI-native product workflows. He explains replacing 20-tool chaos with a single interface using Cursor and Claude Desktop. He demos Model Context Protocol integrations, rapid design vs requirement checks, Manus for traceable research, and smooth prototype-to-code flows.

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INSIGHT

Operating System Over Tool Stack

PMs should operate from a single AI-native interface instead of logging into twenty different UIs.
An OS layer (Cursor/Claude Desktop) that connects tools preserves flow state and saves time.

ANECDOTE

Migrated Planner Content In-Session

Mike moved spreadsheet-driven wedding planning tasks into Sanity via Cursor in one session.
He created and edited CMS documents without opening the Sanity UI, saving manual work.

ADVICE

Connect Tools With MCP

Use Model Context Protocol (MCP) connectors to query and modify external systems from your AI workspace.
Let the AI read and edit tools like Sanity so you can stay in one interface and keep flow.

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Today’s Episode

Most PMs are drowning in tools.

You log into JIRA. Then Figma. Then Confluence. Then Notion. Then Google Analytics. Then Slack.

Twenty different tabs. Twenty different logins. Zero flow state.

Mike Bal runs product at David’s Bridal, a company undergoing massive digital transformation.

And he operates from a single interface.

Cursor and Claude Desktop sit at the center. Everything else connects through MCP and custom integrations.

Research? Manus feeds into Claude. Analytics? Clarity exports into Cursor. Design? Figma pulls directly into his projects.

This isn’t a tool stack. It’s an operating system.

Today, Mike shows you exactly how to build it.

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Are you searching for a PM job? Join me + 29 others for an intensive 12-week experience to master getting a PM job. Only 9 seats left.

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Brought to you by Linear: Plan and build products like the best.

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Key Takeaways:

1. Operating systems beat tool stacks - Stop logging into 20 different UIs. Build one central interface through Cursor and Claude Desktop that connects to everything. The composable mindset adapts to your needs.

2. MCP changes PM workflows forever - Model Context Protocol lets you connect JIRA, Figma, GitHub, Notion, Confluence through natural language. Check ticket status without opening JIRA. Compare designs without manual cross-reference.

3. Design validation takes 30 seconds now - "Find my Confluence doc about Feature X, load this Figma design, compare them and tell me what I missed." Used to take 1-2 hours of manual comparison work.

4. Manus dominates heavy research - Gives you multiple file outputs: sample CSVs, combined datasets, data sources report, quick start guide, markdown summary. All traceable back to sources. ChatGPT just gives responses.

5. Research must stay external until vetted - The "conspiracy theorist LLM" problem is real. If you automatically feed everything into your system, AI anchors to wrong information. Vet research separately, then bring validated context in.

6. PMs can build what required engineers - Mike built a colorization app for e-commerce in one morning. Migrated content to Sanity CMS in a few hours. All from natural language prompts in Cursor.

7. Context switching kills productivity - Every time you open a new tab, you lose flow state. The operating system keeps you in one interface. The AI handles the context switching for you.

8. Corporate IT restrictions become irrelevant - You already have Cursor or Claude Desktop. You already use JIRA, Figma, GitHub. Connect them through a better interface. No new tool approvals needed.

9. Analytics workflows save massive time - Export Clarity data, upload to Cursor, prompt "analyze drop-offs and create visualizations." Takes 10 minutes vs hours of manual Excel work.

10. AI native PMs think in prompts - "What do I need to do? What are the steps? What tools will help?" Treat AI as an extension of yourself, not a separate tool to learn.

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Where to Find Mike

* LinkedIn

* Youtube

* Website

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